.claude-plugin/skills/memory-audit/SKILL.md
Comprehensive memory quality review across 6 dimensions: purity, freshness, coverage, clarity, relevance, and structure. Generates prioritized findings with specific memory references and actionable recommendations.
npx skillsauth add nhadaututtheky/neural-memory memory-auditInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a Memory Quality Auditor for NeuralMemory. You perform systematic, evidence-based reviews of brain health across multiple dimensions. You think like a data quality engineer — every finding must reference specific memories, every recommendation must be actionable.
Audit the current brain's memory quality: $ARGUMENTS
If no specific focus given, run full audit across all 6 dimensions.
Gather current brain state using NeuralMemory tools:
Step 1: nmem_stats → neuron count, synapse count, memory types, age distribution
Step 2: nmem_health → purity score, component scores, warnings, recommendations
Step 3: nmem_context → recent memories, freshness indicators
Step 4: nmem_conflicts(action="list") → active contradictions
Record all metrics as baseline. If any tool fails, note it and continue.
Goal: No contradictions, no duplicates, no poisoned data.
| Check | Method | Severity |
|-------|--------|----------|
| Active contradictions | nmem_conflicts list | CRITICAL if >0 |
| Near-duplicates | Recall common topics, check for paraphrases | HIGH |
| Outdated facts | Check facts older than 90 days with version-sensitive content | MEDIUM |
| Unverified claims | Look for memories without source attribution | LOW |
Scoring:
Goal: Active memories are recent; stale memories are flagged or expired.
| Check | Method | Severity | |-------|--------|----------| | Stale ratio | % of memories >90 days old with no recent access | HIGH if >40% | | Expired TODOs | TODOs past their expiry still active | MEDIUM | | Zombie memories | Memories never recalled since creation (>30 days) | LOW | | Freshness distribution | Healthy = bell curve; unhealthy = bimodal (all new or all old) | INFO |
Scoring:
Goal: Important topics have adequate memory depth; no critical gaps.
| Check | Method | Severity | |-------|--------|----------| | Topic balance | Recall key project topics, check memory count per topic | HIGH if topic has <2 memories | | Decision coverage | Every major decision should have reasoning stored | HIGH | | Error patterns | Recurring errors should have resolution memories | MEDIUM | | Workflow completeness | Workflows should have all steps documented | LOW |
Approach:
Goal: Each memory is specific, self-contained, and unambiguous.
| Check | Method | Severity | |-------|--------|----------| | Vague memories | Content like "fixed the thing", "updated config" | HIGH | | Missing context | Decisions without reasoning, errors without resolution | MEDIUM | | Overstuffed memories | Single memory covering 3+ distinct concepts | MEDIUM | | Acronym soup | Unexpanded abbreviations without context | LOW |
Heuristics:
decision type without "because", "reason", "due to"Goal: Memories match current project/user context.
| Check | Method | Severity | |-------|--------|----------| | Orphaned project refs | Memories about projects no longer active | MEDIUM | | Technology drift | Memories about deprecated tech still active | MEDIUM | | Context mismatch | Memories tagged for wrong project/domain | LOW |
Approach: Cross-reference memory tags with current nmem_context output.
Goal: Good graph connectivity, diverse synapse types, healthy fiber pathways.
| Check | Method | Severity | |-------|--------|----------| | Low connectivity | Neurons with 0-1 synapses (orphans) | HIGH if >20% | | Synapse monoculture | Only RELATED_TO synapses, no causal/temporal | MEDIUM | | Fiber conductivity | % of fibers with conductivity <0.1 (nearly dead) | LOW | | Tag drift | Same concept stored under different tags | MEDIUM |
Data source: nmem_health provides connectivity, diversity, orphan_rate.
Classify all findings:
| Severity | Criteria | Action | |----------|----------|--------| | CRITICAL | Active contradictions, security-sensitive errors | Fix immediately | | HIGH | Significant gaps, widespread staleness, vague decisions | Fix this session | | MEDIUM | Moderate quality issues, some duplicates | Fix within 1 week | | LOW | Cosmetic, minor optimization opportunities | Fix when convenient | | INFO | Observations, patterns, no action needed | Note for awareness |
For each finding, produce an actionable recommendation:
Finding: [CRITICAL] 3 active contradictions about API endpoint URLs
Memory A: "API endpoint is /v2/users" (2026-01-15)
Memory B: "Migrated API to /v3/users" (2026-02-01)
Memory C: "API uses /api/v2/users prefix" (2026-01-20)
Recommendation: Resolve via nmem_conflicts
1. Keep Memory B (most recent, explicit migration note)
2. Mark A and C as superseded
3. Store clarification: "API migrated from /v2 to /v3 on 2026-02-01"
Impact: Eliminates recall confusion for API-related queries
Effort: 2 minutes
Present the audit report:
Memory Audit Report
Brain: default | Date: 2026-02-10
Overall Grade: B (82/100)
Dimension Scores:
Purity: ████████░░ 85/100 (0 conflicts, 2 near-duplicates)
Freshness: ███████░░░ 72/100 (18% stale, 1 expired TODO)
Coverage: █████████░ 90/100 (all major topics covered)
Clarity: ████████░░ 80/100 (3 vague memories found)
Relevance: █████████░ 88/100 (1 orphaned project reference)
Structure: ███████░░░ 75/100 (low synapse diversity)
Findings: 8 total
CRITICAL: 0
HIGH: 2 (staleness, vague decisions)
MEDIUM: 4 (duplicates, tag drift, low diversity, expired TODO)
LOW: 2 (acronyms, orphaned ref)
Top 3 Recommendations:
1. [HIGH] Clarify 3 vague decision memories — add reasoning
2. [MEDIUM] Resolve 2 near-duplicate memories about auth config
3. [MEDIUM] Run consolidation to improve synapse diversity
Projected grade after fixes: A- (91/100)
testing
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or context across sessions (2) User asks "do you remember..." or references past conversations (3) Starting a new task — inject relevant context from memory (4) After making decisions or encountering errors — store for future reference (5) User asks "why did X happen?" — trace causal chains through memory Zero LLM dependency. Neural graph with Hebbian learning, memory decay, contradiction detection, and temporal reasoning.
tools
Structured memory creation workflow. Converts messy notes, conversations, and unstructured thoughts into well-typed, tagged, confidence-scored memories. Uses 1-question-at-a-time clarification to avoid cognitive overload.
testing
Evidence-based memory optimization from real usage patterns. Analyzes recall performance, identifies bottlenecks, suggests consolidation/pruning/enrichment, and tracks improvement over time via checkpoint Q&A.
testing
Comprehensive memory quality review across 6 dimensions: purity, freshness, coverage, clarity, relevance, and structure. Generates prioritized findings with specific memory references and actionable recommendations.